Slot-based dynamic traffic control - deriving generation rules from automated and connected driving and lane change behavior

Autor: Daniel Wesemeyer, Michael Ortgiese, Sten Ruppe
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Future Transportation, Vol 5 (2024)
Druh dokumentu: article
ISSN: 2673-5210
DOI: 10.3389/ffutr.2024.1415375
Popis: The advent of connected automated vehicles (CAVs) will introduce new possibilities for traffic management as it provides a wide variety of data that can be used by traffic network and fleet operators. Much of this data will be generated passively by vehicles and the infrastructure and exchanged between stations via wireless communication, i.e., Vehicle-to-Everything (V2X). This paper introduces a V2X-based traffic management approach based on slot management for vehicles. These slots are used to control the route choice and trajectory planning of CAVs over multiple organizational levels. After introducing the central principles that the management system model is based on, we test two lane change approaches for CAVs in order to derive rules for generating and controlling slots. A basic set of rules was defined that foremost resulted from evaluating the lane change behaviour of CAVs. The evaluation of the lane changes shows that omitting deviations in the driving behaviour of CAVs yields non-optimal results concerning traffic flow parameters, especially under highly congested conditions. Future research should investigate the effects of the slot-based approach in a more complex scenario.
Databáze: Directory of Open Access Journals